10726588

Magnetic Resonance Imaging (mri) Image Filtration According to Different Cardiac Rhythms

PublishedJuly 28, 2020
Assigneenot available in USPTO data we have
InventorsAssaf Govari
Technical Abstract

Patent Claims
8 claims

Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.

Claim 1

Original Legal Text

1. A method, comprising: receiving a plurality of voxel values corresponding to respective locations in a heart, which are acquired using magnetic resonance imaging (MRI); identifying voxel values that, in spite of (i) corresponding to a same location in the heart and (ii) being gated to a same phase of an electrocardiogram (ECG) cycle of the heart, differ by more than a predefined difference; and reconstructing an image of at least a portion of the heart from the plurality of voxel values excluding at least the identified voxel values, wherein identifying the voxel values that differ by more than the predefined difference comprises: constructing a scatter plot comprising multiple data points in a plane whose first and second axes denote voxel values acquired in respective first and second MRI acquisitions, wherein each data point represents the voxel values at a given location in the heart in the first and second MRI acquisitions; and identifying one or more data points that fall outside a predefined region in the plane.

Plain English Translation

A method for improving MRI heart imaging involves several steps. First, it receives multiple MRI voxel values corresponding to specific locations within a heart. Next, it identifies inconsistent voxel values. This identification specifically involves constructing a scatter plot where the first and second axes represent voxel values acquired in respective first and second MRI acquisitions for the same heart location. Each data point on the plot represents the voxel values for a given location in these two acquisitions. Voxel values are considered inconsistent if they correspond to the same heart location and the same ECG cycle phase but differ by more than a predefined amount, which are identified as data points falling outside a predefined region on the scatter plot. Finally, an image of at least a portion of the heart is reconstructed using the received voxel values, but *excluding* all the identified inconsistent voxel values, thereby filtering out unreliable data.

Claim 2

Original Legal Text

2. The method according to claim 1 , wherein reconstructing the image comprises skipping reconstruction of any image that comprises an acquisition taken during an identified arrhythmia.

Plain English Translation

A method for improving MRI heart imaging involves several steps. First, it receives multiple MRI voxel values corresponding to specific locations within a heart. Next, it identifies inconsistent voxel values. This identification specifically involves constructing a scatter plot where the first and second axes represent voxel values acquired in respective first and second MRI acquisitions for the same heart location. Each data point on the plot represents the voxel values for a given location in these two acquisitions. Voxel values are considered inconsistent if they correspond to the same heart location and the same ECG cycle phase but differ by more than a predefined amount, which are identified as data points falling outside a predefined region on the scatter plot. Finally, an image of at least a portion of the heart is reconstructed using the received voxel values, but *excluding* all the identified inconsistent voxel values, thereby filtering out unreliable data. A specific aspect of this reconstruction is to *skip* the reconstruction of any image that includes data acquired during an identified cardiac arrhythmia.

Claim 3

Original Legal Text

3. The method according to claim 1 , and comprising, in response to excluding the voxel values, adjusting a thickness of the reconstructed image.

Plain English Translation

A method for improving MRI heart imaging involves several steps. First, it receives multiple MRI voxel values corresponding to specific locations within a heart. Next, it identifies inconsistent voxel values. This identification specifically involves constructing a scatter plot where the first and second axes represent voxel values acquired in respective first and second MRI acquisitions for the same heart location. Each data point on the plot represents the voxel values for a given location in these two acquisitions. Voxel values are considered inconsistent if they correspond to the same heart location and the same ECG cycle phase but differ by more than a predefined amount, which are identified as data points falling outside a predefined region on the scatter plot. Finally, an image of at least a portion of the heart is reconstructed using the received voxel values, but *excluding* all the identified inconsistent voxel values, thereby filtering out unreliable data. Furthermore, in response to excluding these inconsistent voxel values, the method *adjusts the thickness* of the reconstructed image.

Claim 4

Original Legal Text

4. The method according to claim 1 , and comprising, in response to excluding the voxel values, adjusting a reconstruction filter used for reconstructing the image.

Plain English Translation

A method for improving MRI heart imaging involves several steps. First, it receives multiple MRI voxel values corresponding to specific locations within a heart. Next, it identifies inconsistent voxel values. This identification specifically involves constructing a scatter plot where the first and second axes represent voxel values acquired in respective first and second MRI acquisitions for the same heart location. Each data point on the plot represents the voxel values for a given location in these two acquisitions. Voxel values are considered inconsistent if they correspond to the same heart location and the same ECG cycle phase but differ by more than a predefined amount, which are identified as data points falling outside a predefined region on the scatter plot. Finally, an image of at least a portion of the heart is reconstructed using the received voxel values, but *excluding* all the identified inconsistent voxel values, thereby filtering out unreliable data. Additionally, in response to excluding these inconsistent voxel values, the method *adjusts a reconstruction filter* used for creating the image.

Claim 5

Original Legal Text

5. A system, comprising: a memory, which is configured to store a plurality of voxel values corresponding to respective locations in a heart, which are acquired using magnetic resonance imaging (MRI); and a processor, which is configured to: identify voxel values that, in spite of (i) corresponding to a same location in the heart and (ii) being gated to a same phase of an electrocardiogram (ECG) cycle of the heart, differ by more than a predefined difference; and reconstruct an image of at least a portion of the heart from the plurality of voxel values excluding at least the identified voxel values, wherein the processor is configured to identify the voxel values that differ by more than the predefined difference by: constructing a scatter plot comprising multiple data points in a plane whose first and second axes denote voxel values acquired in respective first and second MRI acquisitions, wherein each data point represents the voxel values at a given location in the heart in the first and second MRI acquisitions; and identifying one or more data points that fall outside a predefined region in the plane.

Plain English Translation

A system for improving MRI heart imaging includes a memory configured to store MRI voxel values for heart locations, and a processor. The processor identifies inconsistent voxel values: those from the *same heart location* and *same ECG phase* that differ by more than a predefined amount. This identification involves constructing a scatter plot where the first and second axes denote voxel values acquired in respective first and second MRI acquisitions for the same location, with each data point representing these paired values. Inconsistent values are identified as data points falling outside a predefined region on this plot. Subsequently, the processor reconstructs an image of at least a portion of the heart using the voxel values, *excluding* the identified inconsistent values, thereby filtering out unreliable data.

Claim 6

Original Legal Text

6. The system according to claim 5 , wherein the processor is configured to reconstruct the image by skipping reconstruction of any image that comprises an acquisition taken during an identified arrhythmia.

Plain English Translation

A system for improving MRI heart imaging includes a memory configured to store MRI voxel values for heart locations, and a processor. The processor identifies inconsistent voxel values: those from the *same heart location* and *same ECG phase* that differ by more than a predefined amount. This identification involves constructing a scatter plot where the first and second axes denote voxel values acquired in respective first and second MRI acquisitions for the same location, with each data point representing these paired values. Inconsistent values are identified as data points falling outside a predefined region on this plot. Subsequently, the processor reconstructs an image of at least a portion of the heart using the voxel values, *excluding* the identified inconsistent values, thereby filtering out unreliable data. Furthermore, the processor is specifically configured to perform this image reconstruction by *skipping* the reconstruction of any image that includes data acquired during an identified cardiac arrhythmia.

Claim 7

Original Legal Text

7. The system according to claim 5 , wherein the processor is further configured to, in response to excluding the voxel values, adjust a thickness of the reconstructed image.

Plain English Translation

A system for improving MRI heart imaging includes a memory configured to store MRI voxel values for heart locations, and a processor. The processor identifies inconsistent voxel values: those from the *same heart location* and *same ECG phase* that differ by more than a predefined amount. This identification involves constructing a scatter plot where the first and second axes denote voxel values acquired in respective first and second MRI acquisitions for the same location, with each data point representing these paired values. Inconsistent values are identified as data points falling outside a predefined region on this plot. Subsequently, the processor reconstructs an image of at least a portion of the heart using the voxel values, *excluding* the identified inconsistent values, thereby filtering out unreliable data. Additionally, in response to excluding these inconsistent voxel values, the processor is configured to *adjust the thickness* of the reconstructed image.

Claim 8

Original Legal Text

8. The system according to claim 5 , wherein the processor is further configured to, in response to excluding the voxel values, adjust a reconstruction filter used for reconstructing the image.

Plain English Translation

A system for improving MRI heart imaging includes a memory configured to store MRI voxel values for heart locations, and a processor. The processor identifies inconsistent voxel values: those from the *same heart location* and *same ECG phase* that differ by more than a predefined amount. This identification involves constructing a scatter plot where the first and second axes denote voxel values acquired in respective first and second MRI acquisitions for the same location, with each data point representing these paired values. Inconsistent values are identified as data points falling outside a predefined region on this plot. Subsequently, the processor reconstructs an image of at least a portion of the heart using the voxel values, *excluding* the identified inconsistent values, thereby filtering out unreliable data. Moreover, in response to excluding these inconsistent voxel values, the processor is configured to *adjust a reconstruction filter* used for creating the image.

Patent Metadata

Filing Date

Unknown

Publication Date

July 28, 2020

Inventors

Assaf Govari

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Cite as: Patentable. “MAGNETIC RESONANCE IMAGING (MRI) IMAGE FILTRATION ACCORDING TO DIFFERENT CARDIAC RHYTHMS” (10726588). https://patentable.app/patents/10726588

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MAGNETIC RESONANCE IMAGING (MRI) IMAGE FILTRATION ACCORDING TO DIFFERENT CARDIAC RHYTHMS